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Fortune 500 companies are increasingly using cloud services to run enterprise workloads to improve security, increase agility, and enable scale. Learn how OpenEye is running their AWS-native platform and workflow engine to support collaboration and data sharing at large pharmaceutical companies like Pfizer. In this session, OpenEye will share cloud best practiced around security controls, cross-departmental collaboration across the enterprise, and agility at scale. Attendees will gain practical tips for using AWS in the enterprise and healthcare industries.

8.
Creating the Nimble Life Sciences Enterprise
Bring agility to your business
Add efficiency throughout the value chain
Analytics to tackle any business problem
Collaborate globally throughout your organization

9.
What to Expect from the Session
1) An appreciation of the computational problems faced
by the pharmaceutical Industry
2) To learn how Orion, our cloud-native platform, uses
AWS to address these problems
3) To see how generalizations of our approach can apply
to your organization

21.
Problem: Finding new molecules (drugs)
• Start with a known ‘active’ molecule (ligand): one with
desirable biological properties
• Find biologically similar molecules from a database, but
with different chemical structure
• Known as ‘Ligand Based Lead Discovery’
106 , 109 ,1012 

26.
Orion Workflows with Floe on AWS
• Composed of small, reusable components (Cubes)
• Cubes are defined by a few lines of Python
• Runs on automated Docker container infrastructure in
AWS
• Built in parallelism, scales to 1000s of CPUs

27.
Workflow Lifecycle
• An expert designs and builds the workflow
• Once ready, the workflow is published so that
others may use it
• Built-in scheduler automates & scales all
necessary infrastructure 106 , 109 ,1012 

43.
A platform requires this many pieces
• A small team could not have built Orion without AWS
• AWS services are continually more enterprise-friendly
• Great individually, very powerful together
• Enables startup agility at scale, every day:
• Hundreds of deployments
• Thousands of workflows
• Millions of messages
• Always automate
106 , 109 ,1012 